Data Engineer, People Analytics & Cloud Data Warehousing

Quest Oracle Community; Columbia (SC); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a Data Engineer for the People Analytics Data Engineering team. This role develops data warehouse modeling, pipelines, and analytics- oriented data solutions in cloud platforms.

You will design robust ETL processes, ensure data quality, and collaborate with HR leaders to deliver actionable insights across the organization. You will mentor engineers, oversee data workflows, and support reporting in R, Python, and BI tools while upholding data governance and security

Qualifications

• 3+ years in data engineering.
• 3+ years ETL/ELT experience.
• 3+ years SQL and relational databases.
• 2+ years Python for data manipulation.
• 3+ years cloud platform experience (GCP preferred).
• 2+ years data warehousing (Snowflake/Redshift/BigQuery).
• 2+ years scheduling tools (Airflow/Composer).

Responsibilities

• Design and manage data pipelines and ETL processes.
• Develop data models and workflows for reporting and analytics.
• Provide technical leadership and mentoring on best practices.
• Collaborate with HR and People Analytics stakeholders.
• Ensure data governance and security compliance with policies.

Skills

Data Engineering

ETL/ELT

SQL

Python

Cloud Platforms

Data Warehousing

Airflow

Education

Bachelor's in CS/DE/DS

Master's preferred

Tools

Snowflake

Redshift

BigQuery

Airflow

Job description

CVS Health is seeking a Data Engineer for the People Analytics Data Engineering team. This role develops data warehouse modeling, pipelines, and analytics- oriented data solutions in cloud platforms.

You will design robust ETL processes, ensure data quality, and collaborate with HR leaders to deliver actionable insights across the organization. You will mentor engineers, oversee data workflows, and support reporting in R, Python, and BI tools while upholding data governance and security